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<p>How securely cryptosystems encrypt files is an important question mark in today’s world. This study focused on defining a comprehensive fuzzy security metric for cryptosystems, especially AES (Advanced Encryption Standard)-RSA (Rivest–Shamir–Adleman) hybrid cryptosystem algorithms, using a multi-logic approach with different security parameters. Since every file has a different security level for a cryptosystem, the ANFIS methodology based on the dataset composed of 400 audio files, 400 texts, and 450 image files of different types and sizes as plaintext is applied for an overall evaluation pool for the hybrid algorithm. The proposed system results for the ECB (Electronic Codebook) and PCBC (Propagating cipher-block chaining) modes of the AES algorithm are also examined, and thus the system accuracy is demonstrated. Lastly, a graphical user interface application of the proposed system is developed, and its statistical validation is presented.</p>

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Fuzzy security level metric of hybrid cryptosystem algorithms

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年6月20日

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  • Hakan Şimşek,
  • Ömer Faruk Öncel

摘要

How securely cryptosystems encrypt files is an important question mark in today’s world. This study focused on defining a comprehensive fuzzy security metric for cryptosystems, especially AES (Advanced Encryption Standard)-RSA (Rivest–Shamir–Adleman) hybrid cryptosystem algorithms, using a multi-logic approach with different security parameters. Since every file has a different security level for a cryptosystem, the ANFIS methodology based on the dataset composed of 400 audio files, 400 texts, and 450 image files of different types and sizes as plaintext is applied for an overall evaluation pool for the hybrid algorithm. The proposed system results for the ECB (Electronic Codebook) and PCBC (Propagating cipher-block chaining) modes of the AES algorithm are also examined, and thus the system accuracy is demonstrated. Lastly, a graphical user interface application of the proposed system is developed, and its statistical validation is presented.